Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/1368
Title: | The optimization of activity-travel sequences by means of reinforcement learning | Authors: | JANSSENS, Davy Lan, Y WETS, Geert Chen, G |
Issue Date: | 2006 | Source: | ISKE 2006, International Conference on Intelligent Systems and Knowledge Engineering, Shangai, China. | Abstract: | Given a sequence of activities and transport modes, this paper evaluates the use of a Reinforcement Machine Learning technique. The technique simulates time and location allocation for a given set of sequences and enables the prediction of a more complete and consistent activity pattern. A computer code has been established to automate the process and has been validated on empirical data. | Document URI: | http://hdl.handle.net/1942/1368 | Category: | C2 | Type: | Conference Material |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
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optimization.pdf | Conference material | 50.78 kB | Adobe PDF | View/Open |
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